Instructions to use e22vvb/mt5-base_TH_spider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use e22vvb/mt5-base_TH_spider with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("e22vvb/mt5-base_TH_spider") model = AutoModelForSeq2SeqLM.from_pretrained("e22vvb/mt5-base_TH_spider") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f170b0090a4ebbcf76e743ddda5bef4577b2a59ae5f195f202e109c4205eb513
- Size of remote file:
- 5.37 kB
- SHA256:
- 4db830f6b58e0cdaaea4a631f9fdbf3407131e2ba029852f0156ed6a1e4de7af
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